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Internship Data Science R Jobs in Austin, TX (NOW HIRING)

Data Scientist

Austin, TX ยท On-site

$77K/yr

Creates original code in R as needed for conducting custom analyses. * Advises faculty and students ... Master's degree in Statistics, Biostatistics, or Data Science * At least 1 year of collaborative ...

Sr Data Scientist

Austin, TX ยท On-site

$130K - $145K/yr

PRIMARY PURPOSE OF POSITION Apply the appropriate data science or analytical methods to extract ... Expert level coding skills (Python, R, Scala, SQL, etc) Proficiency in database management and ...

New

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

... data science, sales, product, and go-to-market. The ideal candidate is an excellent applied ... Strong programming skills in Python and/or R, and comfort with SQL for working with data at scale.

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

Data Scientist under general supervision will perform data engineering, data modeling and model ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Showing results 41-60

Internship Data Science R information

See Austin, TX salary details

$11

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How much do internship data science r jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship data science r in Austin, TX is $22.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

What is an internship data science R?

An Internship Data Science R is a temporary position for students or recent graduates to gain practical experience in data science, with a focus on using the R programming language. Interns typically work under the guidance of experienced data scientists, assisting with data cleaning, analysis, visualization, and possibly building statistical models. This role helps interns develop technical and analytical skills, and provides exposure to real-world data-driven projects, often found in industries like finance, healthcare, or technology.

What types of projects can I expect to work on during an internship data science R?

As a Data Science intern at R, you will typically be involved in projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of experienced data scientists. You may also contribute to developing data visualizations and presenting insights to stakeholders. Interns often collaborate with cross-functional teams, including software engineers and business analysts, which provides valuable exposure to real-world data challenges and team-based problem solving.

What are the key skills and qualifications needed to thrive as an internship data science R, and why are they important?

To thrive as an Internship Data Science R, you need a solid grounding in statistics, data analysis, and programming with R, typically supported by coursework or a degree in a quantitative field. Familiarity with R packages (like tidyverse, ggplot2), data visualization tools, and version control systems such as Git is often required. Strong problem-solving skills, attention to detail, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for supporting data-driven decision-making and contributing meaningfully to project teams in a professional environment.

What is the difference between Internship Data Science R vs Data Analyst Intern?

AspectInternship Data Science RData Analyst Intern
Required SkillsProficiency in R, statistical analysis, data visualizationExcel, SQL, basic statistical knowledge
Work EnvironmentData science teams, research projects, analytics departmentsBusiness units, marketing, finance, or operations teams
Industry UsageTech, finance, healthcare, research institutionsRetail, marketing, consulting, finance

Internship Data Science R focuses on applying R programming for statistical analysis and data modeling, often in research or technical environments. Data Analyst Internships emphasize data cleaning, visualization, and reporting using tools like Excel and SQL. Both roles require analytical skills but differ in technical depth and industry focus.

What cities near Austin, TX are hiring for Internship Data Science R jobs?

Cities near Austin, TX with the most Internship Data Science R job openings:

Data Scientist

Austin, TX โ€ข On-site

Phase2 Technology
Software Developmentย โ€ขย 51 - 200 employees

$77K/yr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Job Posting Title: Data Scientist Hiring Department: School of Nursing Position Open To: All Applicants Weekly Scheduled Hours: 40 FLSA Status: Exempt from FLSA Earliest Start Date: Immediately Position Duration: Expected to Continue Until Aug 31, 2027 Location: UT MAIN CAMPUS Job Details: Purpose

This position provides professional statistical support to students and faculty in the School of Nursing. This position applies advanced statistical modeling, data visualization techniques, and other analytical skills to produce deliverables in response to routine and non-routine data requests. Engages in best practices for data-detailed activities, such as collecting, merging, cleaning, coding, validating, documenting, and updating datasets for analytical use. Investigates and applies new tools, algorithms, and processes for data mining and data visualization.

Responsibilities
  • Performs advanced inferential statistical modeling and data visualization work in direct support of sponsored research and scientific publication.
  • Independently designs and conducts the analytic components of research projects, from statistical analysis planning through model development, results reporting, and manuscript support, applying established professional standards with only general supervision from a principal investigator, department head, or research director.
  • Creates original code in R as needed for conducting custom analyses.
  • Advises faculty and students regarding best practice data analysis strategies.
  • Supervises data analysis projects to ensure validity, rigor and reproducibility.
  • Consults with faculty and students regarding data cleaning and management.
  • Clearly explains data analysis steps and products to faculty and students.
  • Demonstrates data analysis in SPSS or similar GUI-based software to support faculty and student comprehension of data analysis steps.
  • Writes methods and results sections for scientific manuscripts.
  • Writes data analysis plan for grant applications.
  • Performs related duties as required.
Required Qualifications
  • Master's degree in Statistics, Biostatistics, or Data Science
  • At least 1 year of collaborative statistical experience in an academic setting
  • Proficiency with descriptive and inferential statistical analyses, structural equation modeling, longitudinal analyses, and clinical trial data analyses
  • Expertise with SPSS or similar software
  • Expertise with R
  • Excellent verbal and written communication skills
  • Excellent organizational and time management skills

Relevant education and experience may be substituted as appropriate.

Salary Range

$77,000+ depending upon qualifications

Working Conditions
  • Typical Office Environment
Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest
Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

Retirement Plan Eligibility:

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks:

A criminal history background check will be required for finalist(s) under consideration for this position.

Equal Opportunity Employer:

The University of Texas at Austin, as an equal opportunity/affirmative action employer,complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]
Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act) (โ€ฆ). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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